This work presents parameterized deep quantile regression for short-term probabilistic net-load forecasting at the distribution level. To be precise, we use a Deep Neural Network (DNN) to learn both ...

Compared with commonly-used point forecasting, probabilistic forecasting provides quantitative information on the uncertainty associated with wind power output. However, most studies focus on ...

Book Source: Digital Library of India Item 2015.160902dc.contributor.author: Karl Pearson,f.r.sdc.contributor.other: The “biometrika”office,university ...